Journal of hospital medicine : an official publication of the Society of Hospital Medicine
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There is presently a rural hospital shortage in the United States with 180 closures since 2005 and hundreds of institutions in financial peril. Although the hospital closure phenomenon is well-established, less is known about the spillover impact on the operations and financial wellbeing of surrounding hospitals. This preliminary study quantified how discrete rural hospital closures impact institutions in their regional proximity, finding a significant increase in inpatient admissions and emergency department visits for these "bystander hospitals". ⋯ These findings predict a daunting future for rural healthcare. While previous literature has described the acute effects hospital closures have on communities, this study suggests a significant spillover effect on hospitals within the geographic region and a cyclical process at play in the rural healthcare sector. In the absence of significant public health assistance in regions affected by closures, poor health outcomes, including "diseases of despair," are likely to continue proliferating, disproportionately affecting the most vulnerable. In the COVID-19 era, it will be especially necessary to focus on hospital closures given increased risk of maintaining solvency due to delayed and deferred care atop already tight margins.
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Multicenter Study
Variation in bacterial pneumonia diagnoses and outcomes among children hospitalized with lower respiratory tract infections.
Current diagnostics do not permit reliable differentiation of bacterial from viral causes of lower respiratory tract infection (LRTI), which may lead to over-treatment with antibiotics for possible bacterial community-acquired pneumonia (CAP). ⋯ There was wide variation across hospitals in the proportion of children with LRTIs who were treated for bacterial CAP. The lack of meaningful differences in clinical outcomes among hospitals suggests that some institutions may over-diagnose and overtreat bacterial CAP.
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Febrile infants are at risk for invasive bacterial infections (IBIs) (i.e., bacteremia and bacterial meningitis), which, when undiagnosed, may have devastating consequences. Current IBI predictive models rely on serum biomarkers, which may not provide timely results and may be difficult to obtain in low-resource settings. ⋯ Of 2311 febrile infants, 39 had an IBI (1.7%); the median age was 54 days (interquartile range: 35-71). The AUC was 0.819 (95% confidence interval: 0.762, 0.868). The predictive model achieved a sensitivity of 0.974 (0.800, 1.00) and a specificity of 0.530 (0.484, 0.575). Findings suggest that a clinical-based model can detect IBIs in febrile infants, performing similarly to serum biomarker-based models. This model may improve health equity by enabling clinicians to estimate IBI risk in any setting. Future studies should prospectively validate findings across multiple sites and investigate performance by age.
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Editorial Comment
Hospital medicine: It's gotten bigger, but can we make it better?